From Big Noise to Big Data: Toward the Verification of Large Data sets for Understanding Regional Retail Flows

Lovelace, R orcid.org/0000-0001-5679-6536, Birkin, M, Cross, P et al. (1 more author) (2016) From Big Noise to Big Data: Toward the Verification of Large Data sets for Understanding Regional Retail Flows. Geographical Analysis, 48 (1). pp. 59-81. ISSN 0016-7363

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2015 The Authors. Geographical Analysis published by Wiley Periodicals, Inc. on behalf of The Ohio State University. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: big data; verification; gravity model; spatial interaction
Dates:
  • Published: 10 January 2016
  • Published (online): 19 August 2015
  • Accepted: 1 July 2015
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Funding Information:
Funder
Grant number
ESRC
ES/L011891/1
Depositing User: Symplectic Publications
Date Deposited: 17 Sep 2015 10:58
Last Modified: 23 Jun 2023 21:52
Published Version: http://dx.doi.org/10.1111/gean.12081
Status: Published
Publisher: Wiley
Identification Number: 10.1111/gean.12081
Open Archives Initiative ID (OAI ID):

Export

Statistics